Sebastian Raschka

No need to apologize, hope you enjoyed the conference and the trip! > how to deal with fit parameters Hm, that's a good question ... - `n_classes`: I guess we...

~Btw, I just saw that the `VotingClassifier` in scikit-learn (which we ported from mlxtend, aka the `EnsembleVoteClassifier` some time ago) currently also doesn't support sample weights: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/ensemble/voting_classifier.py#L176~ (Edit: Please ignore...

Oh yeah, that's probably the best way to handle this for now :)

Thanks for the PR! Hm, it's weird that the unit test on Windows for Py 2.7 fail. My first thought was that it could be due to banker's rounding in...

Sorry about the trouble with AppVeyor! I see sth like assert scores_mean == 0.94, scores_mean AssertionError: 0.95 I am not sure why it suddenly occurs, it seems like some rounding...

Arg, I just found an issue with Travis CI. I.e., the unit tests were not properly executed in python 2.7. It's fixed in the master branch now. Maybe try to...

> Awesome, good to know! I'll update and see if we at least get consistent test failures. Thanks! I am curious to see how to see how that will turn...

Oh hm, that's weird. It seems like the files are still the old ones and Travis is still not running those Py27 tests. Sorry about the inconvenience, but maybe this...

Hi, Sergey, thanks for the suggestion and I totally agree with you hear: SFS is darn expensive (O(n^2)) when it comes to high dimensional datasets. The random subsampling sounds like...

Good point, this was originally a function -- I used it when working with TensorFlow back in the day. However, within mlxtend, I didn't see the need for having it...